A causal framework treats Gantt charts of patient journeys as causal DAGs, splits estimation between expert input and observational data, and uses LLMs to scale the expert side.
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Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement
A causal framework treats Gantt charts of patient journeys as causal DAGs, splits estimation between expert input and observational data, and uses LLMs to scale the expert side.